[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]
IF | AIF | CIF | IF5 | DOC | CDO | CIT | NCI | CCU | D2Y | C2Y | D5Y | C5Y | SC | %SC | CiY | II | AII | |
2018 | 0 | 0.55 | 0 | 0 | 22 | 22 | 3 | 0 | 0 | 0 | 0 | 0 | 0.23 | |||||
2019 | 0 | 0.56 | 0 | 0 | 33 | 55 | 1 | 0 | 22 | 22 | 0 | 0 | 0.23 | |||||
2020 | 0.02 | 0.67 | 0.01 | 0.02 | 21 | 76 | 0 | 1 | 1 | 55 | 1 | 55 | 1 | 0 | 0 | 0.32 | ||
2021 | 0 | 0.79 | 0.01 | 0.01 | 18 | 94 | 0 | 1 | 2 | 54 | 76 | 1 | 0 | 0 | 0.29 | |||
2022 | 0 | 0.83 | 0.02 | 0.02 | 10 | 104 | 0 | 2 | 4 | 39 | 94 | 2 | 0 | 0 | 0.25 | |||
2023 | 0 | 0.82 | 0.01 | 0.01 | 13 | 117 | 0 | 1 | 5 | 28 | 104 | 1 | 0 | 0 | 0.23 |
IF: | Two years Impact Factor: C2Y / D2Y |
AIF: | Average Impact Factor for all series in RePEc in year y |
CIF: | Cumulative impact factor |
IF5: | Five years Impact Factor: C5Y / D5Y |
DOC: | Number of documents published in year y |
CDO: | Cumulative number of documents published until year y |
CIT: | Number of citations to papers published in year y |
NCI: | Number of citations in year y |
CCU: | Cumulative number of citations to papers published until year y |
D2Y: | Number of articles published in y-1 plus y-2 |
C2Y: | Cites in y to articles published in y-1 plus y-2 |
D5Y: | Number of articles published in y-1 until y-5 |
C5Y: | Cites in y to articles published in y-1 until y-5 |
SC: | selft citations in y to articles published in y-1 plus y-2 |
%SC: | Percentage of selft citations in y to articles published in y-1 plus y-2 |
CiY: | Cites in year y to documents published in year y |
II: | Immediacy Index: CiY / Documents. |
AII: | Average Immediacy Index for series in RePEc in year y |
# | Year | Title | Cited |
---|---|---|---|
1 | 2018 | Predicting the Default Risk of Companies. Comparison of Credit Scoring Models: Logit Vs Support Vector Machines. (2018). nehrebecka, natalia ; Natalia, Nehrebecka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:22:y:2018:i:2:p:54-73:n:5. Full description at Econpapers || Download paper | 3 |
2 | 2021 | Equilibrium Short-Rate Models Vs No-Arbitrage Models: Literature Review and Computational Examples. (2021). Apostolov, Mico ; Mico, Apostolov ; Dushko, Josheski. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:25:y:2021:i:3:p:42-71:n:4. Full description at Econpapers || Download paper | 1 |
3 | 2019 | Competing Risk Models of Default in the Presence of Early Repayments. (2019). Ewa, Wycinka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:23:y:2019:i:2:p:99-120:n:7. Full description at Econpapers || Download paper | 1 |
4 | 2019 | Clustering Companies Listed on the Warsaw Stock Exchange According to Time-Varying Beta. (2019). Piotr, Szczepocki. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:23:y:2019:i:2:p:63-79:n:5. Full description at Econpapers || Download paper | 1 |
5 | 2018 | Analysis of Innovations in the European Union Via Ensemble Symbolic Density Clustering. (2018). Marcin, Peka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:22:y:2018:i:3:p:84-98:n:6. Full description at Econpapers || Download paper | 1 |
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